Zhi Li | Molecular and Cellular Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Zhi Li | Molecular and Cellular Neuroscience | Best Researcher Award

Assist. Prof. Dr. Zhi Li | Qinghai University | China

Zhi Li is a researcher specializing in cellular biology, infection and immunity, host–pathogen interactions, vector and vector-borne diseases, and zoonoses. His work focuses on understanding the molecular mechanisms underlying host responses to parasitic infections and the epidemiology of emerging infectious diseases in animals. As an Assistant Professor at Qinghai University, he has contributed significantly to research on parasitic pathogens affecting livestock and wildlife in the Qinghai-Tibetan Plateau region. His studies have explored infections caused by Echinococcus shiquicus, Theileria annulata, and various fluke species, emphasizing their identification, transmission dynamics, and host interactions. Through collaborations with national and international researchers, he has published in leading journals such as Transboundary and Emerging Diseases, Parasitology Research, Parasites & Vectors, and Acta Tropica. His research integrates molecular biology, immunological assays, and field epidemiology to develop improved diagnostic tools and better understand pathogen adaptation in diverse ecological settings. By linking laboratory findings with field observations, Zhi Li’s work contributes to controlling zoonotic and vector-borne diseases that threaten both animal and human health, aligning with the global “One Health” approach that connects veterinary and biomedical research for sustainable disease management.

Profile: Orcid

Li, Z., Han, Y., Liu, J.-L., Zhang, X.-Y., Shen, X., Guo, Z.-H., Yin, H., Duo, H., & Fu, Y. (2025). High diversity of Piroplasm species carried by ticks from Qinghai, China. Acta Tropica, 250, 107907.

Fu, Y., Zhang, X., Li, Z., Shi, Z., Ma, X., Meng, R., Zhang, Q., Zhao, C., Guo, S., Ma, W., et al. (2023, November 23). Emerging Echinococcus shiquicus infection of Asian badgers in the Qinghai–Tibetan Plateau. Transboundary and Emerging Diseases, 2023, 6874033.

Fu, Y., Zhang, X., Li, Z., Meng, R., Duo, H., Shen, X., Ma, Y., & Guo, Z. (2023, July). Identification and prevalence of fluke infection in yak and Tibetan sheep around Qinghai Lake, China. Parasitology Research.

Zhang, X., Jian, Y., Li, Z., Duo, H., Guo, Z., & Fu, Y. (2023, February 25). Optimization of single-tube nested PCR for the detection of Echinococcus spp. Experimental Parasitology, 246, 108358.

Liu, J., Zhao, S., Li, Z., Zhang, Z., Zhao, B., Guan, G., Yin, H., & Luo, J. (2023, February 23). Activation of telomerase activity and telomere elongation of host cells by Theileria annulata infection. Frontiers in Microbiology, 14, 1123456.

Gokhan Uyanık | Neuropharmacology | Best Researcher Award

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Assist. Prof. Dr. Gokhan Uyanık | Neuropharmacology | Best Researcher Award

Assist. Prof. Dr. Gokhan Uyanık | Hatay Mustafa Kemal University | Turkey

Assistant Professor Gokhan Uyanık is a faculty member in the Department of Obstetrics and Gynecology at the Faculty of Veterinary Medicine, Hatay Mustafa Kemal University, Turkey. His academic expertise lies in veterinary obstetrics and gynecology, with a particular focus on reproductive physiology and fertility enhancement in small ruminants. His doctoral research explored the effects of GnRH and TAK-683 administration on fertility following estrus synchronization during the anestrus period in ewes, contributing to advancements in reproductive management and animal breeding efficiency. He has actively engaged in undergraduate teaching, guiding clinical applications and practical veterinary training in obstetrics and gynecology. Dr. Uyanık has authored 5 scientific documents that have received 7 citations, reflecting his growing contribution to the veterinary reproductive science community. His h-index stands at 2, indicating a developing yet impactful research trajectory. Through his integration of clinical practice, teaching, and experimental research, he aims to enhance understanding and management of reproductive disorders in animals. His academic presence is supported by international researcher identifiers, including ORCID and Scopus, ensuring global visibility and collaboration within the scientific community.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Gozer, A., Uyanik, G., Keceli, H. H., Kaya, U., and Ozkan, H. (2025). Upregulation of miR-125b and miR-23b in plasma might be related with the early pregnancy in Awassi ewes. Small Ruminant Research, 107579.

Cerci, E., Saribay, M. K., and Uyanik, G. (2025). Ineklerde Vitamin A, D ve E’nin fertilite uzerine etkisi: Derleme. Bahri Dagdas Hayvancilik Arastirma Dergisi, 14(1), 28–43.

Gozer, A., Bahan, O., Uyanik, G., Kaya, U., Arslanhan, E., Kucukkara, B., and Tatar, G. (2025). The effects of prepartum vitamin E/selenium and melatonin treatment on uterine involution of Awassi sheep in Hatay. Kocatepe Veterinary Journal, 18(2), 104–111.

Uyanik, G. and Gozer, A. (2025). Effect of different doses of equine chorionic gonadotrophin on the pregnancy rates in the Awassi ewes in out-of-breeding season. 9th International Congress on Veterinary and Animal Sciences, 105–106.

Uyanik, G. (2024). Koyunlarda anostrus doneminde ostrus senkronizasyonu sonrasi GnRH veya TAK-683 uygulamasinin fertiliteye etkisi. Master’s thesis, Erciyes University, Institute of Health Sciences, Department of Veterinary Obstetrics and Gynecology.

Kose, S. I., Erturk, A., Uyanik, G., and Ozturk, A. S. (2024). Evaluation of relationship between C-reactive protein, leukocyte count and platelet indices in dogs with leukocytosis. Kocatepe Veterinary Journal, 17(3), 270–279.

Kose, S. I., Ozturk, A. S., Uyanik, G., Erturk, A., and Durgut, R. (2023). What is the latest status of cats’ health in Hatay (Turkey) province following the SARS-CoV-2 pandemic? Kocatepe Veterinary Journal, 16(3), 450–458.

Uyanik, G., Kose, S. I., and Ozturk, A. S. (2021). Can rheumatoid factor use in the diagnosis of osteomalacia in dogs: A case report.

Hui Zhang | Clinical Neuroscience | Best Researcher Award

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Prof. Hui Zhang | Clinical Neuroscience | Best Researcher Award

Prof. Hui Zhang | Northwestern University | United States

Hui Zhang is a Professor in the Division of Biostatistics, Department of Preventive Medicine at Northwestern University Feinberg School of Medicine, where he also holds appointments at the Robert H. Lurie Comprehensive Cancer Center, the Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, and the Center for Epidemiology and Population Health. he serves as Director of the Northwestern Brain Tumor SPORE Biostatistics and Bioinformatics Core and leads the Biostatistics and Data Management Core at the Mesulam Center. With a Ph.D. in Statistics from the University of Rochester, her academic foundation spans pharmacology, neurophysiology, and biology, reflecting her interdisciplinary expertise in biostatistics and biomedical research. His previous experience includes research roles at St. Jude Children’s Research Hospital, where she contributed significantly to clinical and statistical protocol development. Professor Zhang’s work focuses on statistical methodologies for cancer and neurological disease research, data integration, and bioinformatics applications. he is an active member of several professional societies, including the American Statistical Association and the International Chinese Statistical Association. A highly cited researcher, she has accumulated over 11,422 citations, an h-index of 43, and an i10-index of 100, demonstrating her substantial impact and leadership in the fields of biostatistics and medical data science.

Profile: Google Scholar

Featured Publications

Moss, A. J., Hall, W. J., Cannom, D. S., Klein, H., Brown, M. W., Daubert, J. P., et al. (2009). Cardiac-resynchronization therapy for the prevention of heart-failure events. New England Journal of Medicine, 361(14), 1329–1338.

Gunzler, D., Chen, T., Wu, P., & Zhang, H. (2013). Introduction to mediation analysis with structural equation modeling. Shanghai Archives of Psychiatry, 25(6), 390–394.

Wan, T., Jun, H. U., Pan, W. U., & Hua, H. E. (2015). Kappa coefficient: A popular measure of rater agreement. Shanghai Archives of Psychiatry, 27(1), 62–67.

Pu, J., Wang, S., Yin, Y., Zhang, G., Carter, R. A., Wang, J., Xu, G., Sun, H., Wang, M., et al. (2015). Evolution of the H9N2 influenza genotype that facilitated the genesis of the novel H7N9 virus. Proceedings of the National Academy of Sciences, 112(2), 548–553.

Guy, C. S., Vignali, K. M., Temirov, J., Bettini, M. L., Overacre, A. E., Smeltzer, M., et al. (2013). Distinct TCR signaling pathways drive proliferation and cytokine production in T cells. Nature Immunology, 14(3), 262–270.

Shen, S., Chen, X., Cai, J., Yu, J., Gao, J., Hu, S., Zhai, X., Liang, C., Ju, X., Jiang, H., et al. (2020). Effect of dasatinib vs imatinib in the treatment of pediatric Philadelphia chromosome–positive acute lymphoblastic leukemia: A randomized clinical trial. JAMA Oncology, 6(3), 358–366.

Sonabend, A. M., Gould, A., Amidei, C., Ward, R., Schmidt, K. A., Zhang, D. Y., et al. (2023). Repeated blood–brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: A phase 1 trial. The Lancet Oncology, 24(5), 509–522.

Kushal J | Clinical Neuroscience | Best Researcher Award

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Mr. Kushal J | Clinical Neuroscience | Best Researcher Award

Mr. Kushal J |  Acharya and B M Reddy College of Pharmacy | India

Kushal J’s research focuses on pharmaceutical analysis, drug formulation, and healthcare innovation, reflecting a deep interest in bridging traditional and modern approaches to drug development. His work includes the formulation, development, and evaluation of an anti-acne serum using cow’s urine, a study that explores bioactive natural resources for dermatological applications. He has also contributed to analytical chemistry through his project on analytical method development and validation for identifying selected genotoxic impurities in bulk and pharmaceutical dosage forms by the RP-HPLC DAD method, presented at the JSS Pharmanecia International Research Conference. His academic training emphasizes analytical instrumentation, including HPLC, UV-Vis spectrophotometry, and dissolution testing, supported by a strong understanding of Good Laboratory Practices (GLP) and Good Manufacturing Practices (GMP). He has further strengthened his theoretical foundation through certifications in Food Chemistry and Biomedical Research. Kushal’s growing research portfolio highlights his dedication to advancing pharmaceutical quality control, regulatory compliance, and innovation in formulation science. His goal is to apply analytical and formulation expertise toward developing safer, more effective, and sustainable pharmaceutical products, contributing to the evolving fields of pharmaceutical technology, analytical method development, and health informatics.

Profile: Orcid

Featured Publication

Kushal, J., Loganathan, C. G., Rajesh, R., Dutta, S., Paik, A., Dasgupta, A., Reddy, G. N. N., & Suchindar, A. (2025). Recent advances in quinoline derivatives: Biological and medicinal insights. ChemistrySelect.

Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

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Dr. Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

Dr. Seyyed Ali | Zendehbad University of Mazandaran | Iran

Dr. Seyyed Ali Zendehbad is a multidisciplinary researcher specializing in biomedical signal processing, cognitive computational neuroscience, and neurorehabilitation technologies. His research integrates deep learning, pattern recognition, and multimodal biological data modeling to enhance fatigue detection and neurorehabilitation systems. He has authored several peer-reviewed papers in reputable journals such as Scientific Reports, IEEE Access, Sensing and Bio-Sensing Research, and Healthcare Technology Letters, focusing on hybrid AI frameworks, EMG signal processing, and muscle synergy-based biofeedback mechanisms. Dr. Zendehbad’s work on developing intelligent rehabilitation systems, including his models like TraxVBF and FatigueNet, contributes to advancing telemonitoring and assistive technologies for neurological recovery. His scholarly output includes more than 25 documents, over 600 citations, and an h-index of 12, reflecting his growing impact in computational neuroscience and biomedical engineering. Recognized for innovation, he has achieved first-place awards in multiple national startup competitions and was honored with the Best Poster Award at the Congress of Neurology and Clinical Electrophysiology of Iran. As a postdoctoral researcher at the University of Mazandaran, his ongoing work emphasizes integrating trustworthy AI into telehealth systems, promoting equitable and efficient digital healthcare delivery through interdisciplinary research and technological innovation.

Profile: Orcid

Featured Publications

1. Mazrooei Rad, E., Mazinani, S. M., & Zendehbad, S. A. (2025). Diagnosis of Alzheimer’s disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model. Computer Methods and Programs in Biomedicine Update, 5, 100192.

2. Zendehbad, S. A., Sharifi Razavi, A., Tabrizi, N., & Sedaghat, Z. (2025). A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective. Epilepsy Research, 207, 107582.

3. Mazrooei Rad, E., Zendehbad, S. A., & Hosseinzadeh, V. (2025). Fetal QRS complex detection based on adaptive filters and peak detection. Research on Biomedical Engineering, 41(3), 424–438.

4. Zendehbad, S. A., Ghasemi, J., & Samsami Khodadad, F. (2025). FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection. Scientific Reports, 15(1), 640.

5. Safdel, A., Zendehbad, S. A., & Ghasemi, J. (2025). Advanced deep learning approaches for accurate and efficient suspicious behavior detection in surveillance videos. Computational Sciences and Engineering, 21(2), 1099.

Tatsuya Yamasoba | Clinical Neuroscience | Best Researcher Award

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Prof. Tatsuya Yamasoba | Clinical Neuroscience | Best Researcher Award

Prof. Tatsuya Yamasoba | University of Tokyo | Japan

Dr. Tatsuya Yamasoba is a Professor Emeritus at the University of Tokyo and Director of Tokyo Teishin Hospital, recognized internationally for his contributions to otology, neurotology, laryngology, and clinical neuroscience. He has published over 500 scientific papers in leading journals such as Science, Nature Chemistry, Nature Nanotechnology, Neuron, PNAS, and Neurology. His research focuses on regenerative medicine for sensorineural hearing loss, vestibular dysfunction, and dysphagia management in neurodegenerative diseases. With a citation index of over 24,150, an h-index of 75, and an i10-index of 353, his work has significantly advanced understanding and treatment of auditory and balance disorders. He has developed surgical techniques for severe hearing loss, pioneered galvanic vestibular stimulation therapy for disequilibrium, and improved aspiration prevention surgeries. Dr. Yamasoba has served as Editor-in-Chief of Auris Nasus Larynx and Associate Editor for ORL Journal and npj Aging and Mechanisms of Disease. He collaborates with leading research institutions including the University of Michigan and the University of California, Davis. His professional memberships include the International Federation of ORL Societies and the Asia Oceania Otorhinolaryngology and Head and Neck Society, reflecting his leadership and influence in advancing otolaryngology and auditory neuroscience globally.

Profile: Google Scholar

Featured Publications

Kujoth, G. C., Hiona, A., Pugh, T. D., Someya, S., Panzer, K., Wohlgemuth, S. E., et al. (2005). Mitochondrial DNA mutations, oxidative stress, and apoptosis in mammalian aging. Science, 309(5733), 481–484.

Tokunaga, T., Sakashita, M., Haruna, T., Asaka, D., Takeno, S., Ikeda, H., et al. (2015). Novel scoring system and algorithm for classifying chronic rhinosinusitis: The JESREC study. Allergy, 70(8), 995–1003.

Yamasoba, T., Lin, F. R., Someya, S., Kashio, A., Sakamoto, T., & Kondo, K. (2013). Current concepts in age-related hearing loss: Epidemiology and mechanistic pathways. Hearing Research, 303, 30–38.

Le Prell, C. G., Yamashita, D., Minami, S. B., Yamasoba, T., & Miller, J. M. (2007). Mechanisms of noise-induced hearing loss indicate multiple methods of prevention. Hearing Research, 226(1–2), 22–43.

Umezawa, K., Yoshida, M., Kamiya, M., Yamasoba, T., & Urano, Y. (2017). Rational design of reversible fluorescent probes for live-cell imaging and quantification of fast glutathione dynamics. Nature Chemistry, 9(3), 279–286.

Matsumoto, Y., Nichols, J. W., Toh, K., Nomoto, T., Cabral, H., Miura, Y., et al. (2016). Vascular bursts enhance permeability of tumour blood vessels and improve nanoparticle delivery. Nature Nanotechnology, 11(6), 533–538.

Iwasaki, S., & Yamasoba, T. (2014). Dizziness and imbalance in the elderly: Age-related decline in the vestibular system. Aging and Disease, 6(1), 38–47.

Someya, S., Xu, J., Kondo, K., Ding, D., Salvi, R. J., Yamasoba, T., Rabinovitch, P. S., et al. (2009). Age-related hearing loss in C57BL/6J mice is mediated by Bak-dependent mitochondrial apoptosis. Proceedings of the National Academy of Sciences, 106(46), 19432–19437.

Jane Paulsen | Clinical Neuroscience | Best Researcher Award

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Prof. Dr. Jane Paulsen | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Jane Paulsen | University of Wisconsin Madison | United States

Dr. Jane S. Paulsen, Ph.D., is a Professor of Neurology and Vice Chair for Research at the University of Wisconsin–Madison, where she also contributes to the Department of Neurosciences Graduate Program. Her expertise lies in cognitive, psychiatric, and imaging correlates of neuropsychiatric disorders, with a strong focus on the early detection of brain diseases and the development of innovative methods for clinical trials. She has significantly advanced the understanding of genetic discrimination and the discovery and validation of biological and clinical markers of brain disease, incorporating neuroimaging and omics-based outcomes into her research. Dr. Paulsen completed her Ph.D. in Counseling Psychology at the University of Iowa, followed by postdoctoral training in Neuropsychology at the University of California, San Diego, where she worked on Alzheimer’s and geriatric psychiatry research. Over her career, she has held key positions including Director of the Huntington’s Disease Clinical Research Program at UCSD and has contributed extensively to advancing neuropsychological research and clinical applications. Her scholarly impact includes 4 published documents, 78 citations from 77 documents, and an h-index of 3, reflecting her influence in the fields of neurology, neuropsychology, and cognitive neuroscience.

Profiles: Scopus | Google Scholar | Reserach Gate | linked In

Featured Publications

Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: The DSM-5 approach. Nature Reviews Neurology, 10(11), 634–642.

Ross, C. A., Aylward, E. H., Wild, E. J., Langbehn, D. R., Long, J. D., Warner, J. H., & Paulsen, J. S. (2014). Huntington disease: Natural history, biomarkers and prospects for therapeutics. Nature Reviews Neurology, 10(4), 204–216.

Paulsen, J. S., Langbehn, D. R., Stout, J. C., Aylward, E., Ross, C. A., Nance, M., & Shoulson, I. (2008). Detection of Huntington’s disease decades before diagnosis: The Predict-HD study. Journal of Neurology, Neurosurgery & Psychiatry, 79(8), 874–880.

Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S., Hayden, M. R., & International Huntington’s Disease Collaborative Group. (2004). A new model for prediction of the age of onset and penetrance for Huntington’s disease based on CAG length. Clinical Genetics, 65(4), 267–277.

Levy, M. L., Cummings, J. L., Fairbanks, L. A., Masterman, D., Miller, B. L., Craig, A. H., & Paulsen, J. S. (1998). Apathy is not depression. The Journal of Neuropsychiatry and Clinical Neurosciences, 10(3), 314–319.

Sachdev, P., Kalaria, R., O’Brien, J., Skoog, I., Alladi, S., Black, S. E., Blacker, D., & Paulsen, J. S. (2014). Diagnostic criteria for vascular cognitive disorders: A VASCOG statement. Alzheimer Disease & Associated Disorders, 28(3), 206–218.

Palmer, B. W., Heaton, R. K., Paulsen, J. S., Kuck, J., Braff, D., Harris, M. J., & Zisook, S. (1997). Is it possible to be schizophrenic yet neuropsychologically normal? Neuropsychology, 11(3), 437–446.

Plis, S. M., Hjelm, D. R., Salakhutdinov, R., Allen, E. A., Bockholt, H. J., Long, J. D., & Calhoun, V. D. (2014). Deep learning for neuroimaging: A validation study. Frontiers in Neuroscience, 8, 229.

Mohamed, S., Paulsen, J. S., O’Leary, D., Arndt, S., & Andreasen, N. (1999). Generalized cognitive deficits in schizophrenia: A study of first-episode patients. Archives of General Psychiatry, 56(8), 749–754.

Paulsen, J. S., Ready, R. E., Hamilton, J. M., Mega, M. S., & Cummings, J. L. (2001). Neuropsychiatric aspects of Huntington’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 71(3), 310–314.

Nasar Ata | Neurology | Best Researcher Award

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Mr. Nasar Ata | Neurology | Best Researcher Award

Dr. S. M. Nasar Ata is a researcher in the Department of Neurology at Henry Ford Hospital, Detroit, USA, specializing in artificial intelligence applications in neuroscience. His work focuses on developing machine learning and soft computing–based algorithms such as CNN, ANN, SVM, and MLR for detecting and predicting brain-based disorders, including Multiple Sclerosis. He integrates metabolomics and imaging clinical data to identify biomarkers and construct predictive models for neurological and metabolic diseases. Dr. Ata collaborates with research centers such as JNMC and IBRC AMU on brain tumor prediction from MRI data and with RCDR AMU on diabetes-related model development. His research contributions include several submitted papers on metabolite prediction, deep learning in brain tumor detection, and molecular mechanisms underlying neurodegeneration and cancer. He has also authored the textbook Basics of Bio-Sciences and actively participates in scientific discussions and editorial work. With 3 published documents, 7 citations, and an h-index of 2, Dr. Ata’s growing research profile reflects his commitment to advancing data-driven neurological diagnostics through AI and biostatistical innovation.

Profiles: Scopus | Research Gate

Featured Publication

Corrigendum to “Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data” [Multiple Sclerosis and Related Disorders, 92, 105942 (2024)]. (2024). Multiple Sclerosis and Related Disorders, 95, 106321.

Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

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Ms. Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

Ms. Priyadharshini Veeralakshmanan | Amrita Vishwa Vidyapeetham | India

Ms. Priyadharshini Veeralakshmanan is a dedicated PhD scholar at Amrita Vishwa Vidyapeetham, specializing in Medical Oncology with a focus on Breast Cancer Immunology and the immunosuppressive tumour microenvironment (TME), particularly in Triple-Negative Breast Cancer (TNBC). Her doctoral research involves a Phase 2/3 open-label pilot clinical trial to evaluate neoadjuvant metronomic chemotherapy for modulating the TME and enhancing chemo- and immunotherapy responses, quantifying immunosuppressive cells and tumour-infiltrating lymphocytes from blood and tumour tissue. She holds an M.Sc. in Physician Assistant (Medical Oncology) and a B.Sc. in Physician Assistant (General Medicine), with extensive clinical training in oncology, hematology, surgical oncology, radiation oncology, and palliative care. Priyadharshini has strong expertise in flow cytometry, cell culture, in vitro drug testing, cytotoxicity assays, systematic reviews, meta-analysis, and clinical trial design, using advanced analytical tools such as FlowJo, SPSS, and GraphPad Prism. She has authored several publications, with an h-index of 3, over 7 documents, and more than 50 citations. A member of ESMO, ASCO, and I-OSI, she is committed to advancing cancer research, translating innovative findings into clinical practice to improve patient outcomes globally.

Profiles: Orcid | Linked In

Featured publications

Veeralakshmanan, P., Jose, W. M., Udayakumaran, S., Bindhu, M. R., Dutta, D., Rajesh, K., Kavalagunta, S., Bhaskaran, R., Haridas, N. K., Rakesh, M. P., et al. (2025). Multimodal management and outcome of pediatric and adolescent malignant central nervous system tumors: A single‐center retrospective study. Malignancy Spectrum.

Surendran, H. P., Sah, S. K., Veeralakshmanan, P., Nair, P., Ashok, H. P., Unnikrishnan, M. K., Kalavagunta, S., Sasidharan, A., Chandran, D., Poornachary, N. M., et al. (2025). Efficacy of hippocampal avoidance whole brain radiotherapy to preserve the cognitive functions among brain metastasis patients: Systematic review and meta-analysis. Neurology India, 73(5), 715–725.

Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

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Dr. Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

Dr. Jaleel Miyan | The University of Manchester | United Kingdom

Dr. Jaleel Ahmad Miyan is a distinguished British neuroscientist and Senior Lecturer at the Faculty of Biology, Medicine & Health, Division of Neuroscience, University of Manchester, with a long-standing career dedicated to understanding cerebrospinal fluid (CSF) physiology and its role in neurological disorders. As President of the Society for Research into Hydrocephalus & Spina Bifida and a Fellow of both the Higher Education Academy and the Royal Society of Biology, he is recognized internationally for his expertise in cerebral folate metabolism and hydrocephalus research. His principal work focuses on fetal-onset and neonatal hydrocephalus, aiming to develop a non-invasive, non-surgical treatment to address global disparities in care. Miyan has supervised numerous PhD and Masters students, postdoctoral researchers, and technicians, fostering research excellence. He has published over 120 peer-reviewed research papers and reviews, with an h-index of 34, and his work has garnered substantial citations, reflecting his impact in neuroscience. He has served on editorial boards, contributed to major research projects, and secured significant funding for studies on folate metabolism in neurological conditions. Miyan’s scholarship is accessible through his ResearchGate, Orcid, and Google Scholar profiles, showcasing his profound contributions to advancing neuroscience and improving treatments for devastating neurological conditions.

Profiles : Google Scholar | Orcid | Research Gate

Featured Publications

Downing, J. E. G., & Miyan, J. A. (2000). Neural immunoregulation: Emerging roles for nerves in immune homeostasis and disease. Immunology Today, 21(6), 281–289.

Assas, B. M., Pennock, J. I., & Miyan, J. A. (2014). Calcitonin gene-related peptide is a key neurotransmitter in the neuro-immune axis. Frontiers in Neuroscience, 8, 23.

Miyan, J. A., Nabiyouni, M., & Zendah, M. (2003). Development of the brain: A vital role for cerebrospinal fluid. Canadian Journal of Physiology and Pharmacology, 81(4), 317–328.

Gazi, E., Dwyer, J., Lockyer, N. P., Miyan, J., Gardner, P., Hart, C., & Brown, M., et al. (2005). Fixation protocols for subcellular imaging by synchrotron‐based Fourier transform infrared microspectroscopy. Biopolymers: Original Research on Biomolecules, 77(1), 18–30.

Mashayekhi, F., Draper, C. E., Bannister, C. M., Pourghasem, M., & Miyan, J. A., et al. (2002). Deficient cortical development in the hydrocephalic Texas (H‐Tx) rat: A role for CSF. Brain, 125(8), 1859–1874.

Owen‐Lynch, P. J., Draper, C. E., Mashayekhi, F., Bannister, C. M., & Miyan, J. A. (2003). Defective cell cycle control underlies abnormal cortical development in the hydrocephalic Texas rat. Brain, 126(3), 623–631.